[Forum SIS] annuncio seminario prof. Taib, Chalmers University e Astrazeneca

[Mauro Gasparini]

Domani 14/06/2016 alle 11:30 il Professor Taib della Chalmers University
e Astrazeneca, terrà in aula Buzano, DISMA, Politecnico di Torino,
Corso Duca degli Abruzzi 24, Torino,
il seguente seminario:

Ziad Taib Chalmers University e Astrazeneca

Layers of statistical modelling: the case of insulin sensitivity.

Abstract.
As applied statisticians, we meet problems that contain elements of
Deterministic Modelling, Stochastic and statistical Modelling,
Parameter Estimation, Numerical Methods, Population modelling (mixed
models), Optimization and of course Statistical Inference. This will
be illustrated using Diabetes mellitus data. In patients having type 2
diabetes, the body fails to respond to insulin resulting in low
"insulin sensitivity". In this talk, measurements from Intra Venous
Glucose Tolerance Test (IVGTT) for both healthy subjects and type 2
diabetes patients are used together with Bergman's deterministic
minimal compartment model (ODE) to estimate the insulin sensitivity
based on a nonlinear mixed effects model. Different sources of
variation are explored and an attempt is made to extend the
deterministic minimal model to a stochastic differential equation
(SDE) model to improve the performance and to get better parameter
estimates. Similar ideas can be used in other situations involving
compartment models such as Pharmacokinetics experiments.


Si veda anche il sito
http://calvino.polito.it/~probstat/seminars/seminars16.html

-- 

Mauro Gasparini
Full Professor of Statistics
Dipartimento di Scienze Matematiche
Politecnico di Torino
Corso Duca degli Abruzzi 24 I-10129 Torino, Italy
tel: +39 011 090 7546
fax: +39 011 090 7599
email: gasparini a calvino.polito.it
www: http://calvino.polito.it/~gasparini/
ORCID: http://orcid.org/0000-0001-8011-4005

-------------- parte successiva --------------
Un allegato HTML è stato rimosso...
URL: <http://www.stat.unipg.it/pipermail/sis/attachments/20160613/5866660f/attachment.html>